Abstract | ||
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Climate models are both outputting larger and larger amounts of data and are doing it on more sophisticated numerical grids. The tools climate scientists have used to analyze climate output, an essential component of climate modeling, are single threaded and assume rectangular structured grids in their analysis algorithms. We are bringing both task- and data-parallelism to the analysis of climate model output. We have created a new data-parallel library, the Parallel Gridded Analysis Library (ParGAL) which can read in data using parallel I/O, store the data on a compete representation of the structured or unstructured mesh and perform sophisticated analysis on the data in parallel. ParGAL has been used to create a parallel version of a script-based analysis and visualization package. Finally, we have also taken current workflows and employed task-based parallelism to decrease the total execution time. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/SC.Companion.2012.282 | High Performance Computing, Networking, Storage and Analysis |
Keywords | Field | DocType |
larger amount,script-based analysis,analysis algorithm,climate modeling,sophisticated analysis,climate model output,climate model,bringing task,tools climate scientist,climate output,parallel version,data parallelism,climate,data structures,parallel processing,data analysis,mesh generation,computational geometry,data visualisation | Data structure,Data visualization,Climate model,Visualization,Computer science,Computational geometry,Parallel computing,Data parallelism,Workflow,Mesh generation | Conference |
ISBN | Citations | PageRank |
978-1-4673-6218-4 | 0 | 0.34 |
References | Authors | |
6 | 25 |
Name | Order | Citations | PageRank |
---|---|---|---|
Robert Jacob | 1 | 0 | 0.34 |
Jayesh Krishna | 2 | 30 | 2.71 |
Xiabing Xu | 3 | 65 | 4.65 |
Sheri Mickelson | 4 | 22 | 2.06 |
Tim Tautges | 5 | 5 | 1.49 |
Mike Wilde | 6 | 351 | 22.09 |
Robert Latham | 7 | 134 | 8.57 |
Foster Ian | 8 | 22938 | 2663.24 |
Robert Ross | 9 | 2717 | 173.13 |
Mark Hereld | 10 | 545 | 36.44 |
Jay Walter Larson | 11 | 19 | 2.87 |
Pavel Bochev | 12 | 14 | 3.75 |
Kara Peterson | 13 | 16 | 4.78 |
Mark J. Taylor | 14 | 70 | 4.34 |
Karen Schuchardt | 15 | 80 | 4.84 |
Jain Yin | 16 | 0 | 0.68 |
Don Middleton | 17 | 123 | 12.58 |
Mary Haley | 18 | 3 | 1.13 |
David W. Brown | 19 | 18 | 3.94 |
W. Huang | 20 | 267 | 33.97 |
Dennis G. Shea | 21 | 5 | 1.18 |
Richard Brownrigg | 22 | 3 | 1.13 |
Mariana Vertenstein | 23 | 84 | 7.17 |
Kwan-Liu Ma | 24 | 5145 | 334.46 |
Jingrong Xie | 25 | 0 | 1.35 |